Condition-Based Monitoring

  • Machine health solutions for improving uptime and accelerating the path to Industry 4.0

    Condition-based monitoring enables early detection and diagnosis of machine and system abnormalities in real time. Identifying and isolating these issues creates opportunities for optimizing replacement part inventories, scheduling down-times for planned maintenance, and making run-time process adjustments that can extend the useful life of the equipment.

    Vibration, current, and temperature all provide key insights into the health of equipment ranging from motors and pumps to bearings and encoders. Vibration measurements are also a source of additional data by further isolating mechanical noise from electrical noise, improving machine diagnostics.

    These machine health insights result in increased productivity, improved efficiency, and maximized uptime, accelerating the path to Industry 4.0.


    Enable Real-Time Monitoring of Industrial Assets

    Bearings

    Initial signs of wear typically create high frequency noise that can only be detected with wide bandwidth, low noise vibration sensors or accelerometers. Wide bandwidths allow earlier detection of initial bearing wear caused by impacts from small fragments of metal.

    Misalignments and Imbalances

    Small changes in shaft alignment or motor frame imbalances require low noise, stable accelerometers that detect subtle mechanical shifts that can impact motor performance.

    Machine Tools

    Increased vibration levels during high speed activities such as production milling or cutting can damage critical materials and reduce precision. Wide bandwidth, low noise sensors that sense irregularities can provide real-time data for feedback and machine control.


    Enable Systems that Deliver Deeper Insights

    With our deep domain expertise and system-level approach, we’ll work with you to understand and solve machine health challenges at the domain, system, and embedded levels. Our comprehensive portfolio of technologies and complete solutions includes:

    Sensor & Signal Chain Design

    Because insights and analytics are only as useful as the quality of your data, ADI’s high performance precision sensing solutions (including MEMS inertial, temperature, and magnetic field) along with supporting signal chains provide accurate and reliable data.

    Embedded Software Design

    Embedded systems require careful consideration of the sampling and signal processing requirements to ensure sensor data is optimized for critical decision making. Integrated modules leverage optimized signal processing techniques to maintain sensor data fidelity, alerting you to potentially problematic machine and system signatures while minimizing false alarms.

    Algorithms and Insights

    High-quality, reliable data pave the way for algorithms to deliver machine insights capable of diagnosing and predicting machine health. Real-time anomaly and event detection enhance condition-based monitoring solutions and provide a deeper understanding of overall machine health, helping you make actionable insights.

    Mechanical System Design

    Optimized condition monitoring solutions must account for mechanical mounting considerations and sensor attachment locations to ensure that early defect signatures can be extracted from the sensor solution.



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